Interdependent Multi-Issue Negotiation for Energy Exchange in Remote Communities

Abstract

We present a novel negotiation protocol to facilitate energy exchange between off-grid homes that are equipped with renewable energy generation and electricity storage. Our protocol imposes restrictions over negotiation such that it reduces the complex interdependent multi-issue negotiation to one where agents have a strategy profile in subgame perfect Nash equilibrium. We show that our negotiation protocol is tractable, concurrent, scalable and leads to Pareto-optimal outcomes in a decentralised manner. We empirically evaluate our protocol and show that, in this instance, a society of agents can (i) improve the overall utilities by 14% and (ii) reduce their overall use of the batteries by 37%.

Cite

Text

Alam et al. "Interdependent Multi-Issue Negotiation for Energy Exchange in Remote Communities." International Joint Conference on Artificial Intelligence, 2013. doi:10.1145/2516911.2516920

Markdown

[Alam et al. "Interdependent Multi-Issue Negotiation for Energy Exchange in Remote Communities." International Joint Conference on Artificial Intelligence, 2013.](https://mlanthology.org/ijcai/2013/alam2013ijcai-interdependent/) doi:10.1145/2516911.2516920

BibTeX

@inproceedings{alam2013ijcai-interdependent,
  title     = {{Interdependent Multi-Issue Negotiation for Energy Exchange in Remote Communities}},
  author    = {Alam, Muddasser and Rogers, Alex and Ramchurn, Sarvapali D.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2013},
  pages     = {15},
  doi       = {10.1145/2516911.2516920},
  url       = {https://mlanthology.org/ijcai/2013/alam2013ijcai-interdependent/}
}